Update to Forward Deployed

{
  "description": "Advance an enterprise AI adoption or forward-deployed engineering (FDE) assignment and choose the relevant Forward Deployed skills. Use for work spanning customer discovery, AI opportunity and solution design, delivery, workforce adoption and value.",
  "included_files": [],
  "name": "get-started",
  "skill_md_contents": "---\nname: get-started\ndescription: Advance an enterprise AI adoption or forward-deployed engineering (FDE) assignment and choose the relevant Forward Deployed skills. Use for work spanning customer discovery, AI opportunity and solution design, delivery, workforce adoption and value.\nlicense: MIT\n---\n\n# Forward Deployed\n\nHelp an organization put AI to valuable work. Find work that is too expensive, slow, fragmented or dependent on scarce expertise today; develop what could change; and carry the assignment to the result the user needs.\n\nThe entry point might be company-wide use of an AI product, a team reinventing its workflow, an integrated agent or a new customer service. Develop a point of view about the opportunity. Use the customer's work and current technical capabilities to make it concrete.\n\n## Start from the assignment\n\nRecover the business objective, who will use the result, the available context and what the team has already decided. Continue an existing engagement from its current design and open decisions. Ask about a missing fact when it changes the work; investigate or make a reasonable assumption for routine details.\n\nUse the relevant skill directly. Combine skills when the assignment crosses their boundaries.\n\n| Work to advance | Skill |\n| --- | --- |\n| Shape the customer conversation and engagement | [enterprise-engagement](../enterprise-engagement/SKILL.md) |\n| Find where expertise, information and handoffs constrain the work | [discovery](../discovery/SKILL.md) |\n| Turn conversations into design changes and follow-through | [meeting-synthesis](../meeting-synthesis/SKILL.md) |\n| Invent valuable AI workflows and services | [opportunity-design](../opportunity-design/SKILL.md) |\n| Choose and sequence AI investments | [use-case-portfolio](../use-case-portfolio/SKILL.md) |\n| Work through the economics and value mechanism | [value-case](../value-case/SKILL.md) |\n| Explore current products, models, tools and deployment options | [capability-exploration](../capability-exploration/SKILL.md) |\n| Design the experience, intelligence and architecture | [solution-design](../solution-design/SKILL.md) |\n| Connect enterprise systems and enable reliable actions | [enterprise-integration](../enterprise-integration/SKILL.md) |\n| Give the agent useful business knowledge and continuing context | [context-design](../context-design/SKILL.md) |\n| Test capabilities, diagnose failures and improve performance | [evaluate-and-improve](../evaluate-and-improve/SKILL.md) |\n| Turn the design into an engineering handoff and working release | [technical-delivery](../technical-delivery/SKILL.md) |\n| Develop workforce practice and spread successful deployments | [adoption-and-scale](../adoption-and-scale/SKILL.md) |\n| Make the solution or investment clear to an executive audience | [executive-communication](../executive-communication/SKILL.md) |\n| Turn deployment learning into reusable product capability | [field-productization](../field-productization/SKILL.md) |\n\nDiagnose from the work. A tool that people bypass may have a context defect, a poor interaction or no useful job to do. The customer's label for the problem helps start the investigation; the case evidence determines what to fix.\n\n## Develop the opportunity and the ability together\n\nLook for the larger change behind a request. Faster drafting may enable broader analysis; a recurring report may become a maintained investigation; a specialist's method may become something a whole team can use. Show how that change improves an outcome the organization values.\n\nExplore the running host and the customer's existing products. Inspect relevant connectors, tools, files and applications; research changing capabilities in current primary documentation; try the decisive behavior when access permits. A supported tool, durable task or editable artifact can open a stronger design. Keep model and vendor choices responsive to those findings.\n\nGive AI a substantial job with a recognizable completion state. Describe the information it can obtain, the judgment it must apply, the actions it can take and the finished work someone receives. Use a concrete case to connect the proposed experience with its engineering requirements. For a deployment assignment, performing the case is useful when it tests or develops that design.\n\nChoose a first release that demonstrates the defining value. A migration agent needs to produce a usable change; an investigation agent needs to resolve a consequential question; a workforce program needs people doing better work with the product. Reduce the initial population or range of work while retaining that mechanism.\n\nUse the host's authoring, analysis and coding capabilities to produce the requested result. Carry implementation into the user's engineering workflow when needed, with enough context and observable behavior for engineers or a coding agent to build it. Keep discoveries, design changes and dependent delivery work aligned.\n\n## Use Studio when shared state helps\n\nWhen Studio's tools are available, it connects sources, opportunities, requirements, delivery work and Field Lab experiments. Without them, keep this state in the conversation and the user's existing tools. Reuse a relevant engagement. Selected-record context can anchor a discussion; proposals can show linked changes; native forms can collect review or experiment choices when supported. Field Lab can rehearse behavior against a defined scenario and outcome checks.\n\nWhen invoked after installation with no assignment, offer useful starting points: bring discovery notes, continue an engagement or, when Studio's tools are available, try its editable sample. Start the sample without requiring sign-in or saved storage. A focused skill task can proceed in the conversation and the user's existing tools.\n\nFinish with a recommendation and usable work: a developed opportunity, a tested design, an engineering brief, a working practice or a decision-ready artifact. Explain what the result changes and the next consequential step.\n"
}